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% Define macros
 
\newcommand{\defcvote}{``supports Conservative party''}
\newcommand{\defturnout}{``Turnout for 2005 General Election''}
\newcommand{\defconvote}{``Voted for Conservative Party in 2005 General Election''}
\newcommand{\defgjo}{``It is the government's responsibility to provide a job for everyone who wants one''}
\newcommand{\defpeo}{``Private enterprise is the best way to solve the UK's economic problems''}
\newcommand{\defpso}{``Major public services and industries ought to be in state ownership''}
\newcommand{\defulo}{``The government should place an upper limit on the amount of money that any one person can make''}
\newcommand{\defincome}{``Real Income ('000s of pounds)''}


\newcommand{\tablespecs} {Extended controls include: married, white, years of schooling, religion.  Full models reported in appendix.  Heteroskedasticity-robust standard errors, clustered by household. Statistical significance: $^{*}$10\% ; $^{**}$5\% ; $^{***}$1\%}

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\urldef{\arunacha}\url{arunacha@umich.edu}
\urldef{\watson}\url{watson.584@osu.edu}
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\title{Height, Income and Voting}
\title{Replication Tables and Figures}
\author{Raj Arunachalam\footnote{Department of Economics, University of Michigan and Bates White, LLC (email \arunacha).} \and Sara Watson\footnote{Corresponding author: Department of Political Science, The Ohio State University, 2140 Derby Hall, 154 N. Oval Mall, Columbus OH 43210-1393 (email \watson).}}

  
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\begin{figure}[htbp]
\begin{footnotesize}
\begin{center}
\includegraphics[scale=0.7]{fig_RF_A_cvote_16.eps}
\caption{Taller People Support Conservatives}
\label{fig:RFcvote16}
\end{center}
Note: Running line smooth of \defcvote on height, adjusted for age and gender.  The X's mark the 10th and 90th percentile of the height distribution.  95 percent pointwise bootstrapped confidence intervals displayed.   
\end{footnotesize}
\end{figure}



\begin{sidewaystable}
\begin{footnotesize}
\begin{center}
\input{finaltable1_RF.tex}
\caption{Political Effects of Height}
\label{tab:mainresult}
\end{center}
Note:  Least squares regression of \defcvote on height.  \tablespecs  
\end{footnotesize}
\end{sidewaystable}


\begin{figure}[htbp]
	\begin{centering}	
  \subfloat[Private Enterprise]{\includegraphics[scale=0.7]{fig_RF_A_peo_14.eps}\label{RFpeoA}}\hfill
  \subfloat[State Ownership]{\includegraphics[scale=0.7]{fig_RF_A_pso_14.eps}\label{RFpsoA}}\\
  \subfloat[Govt Should Provide Jobs]{\includegraphics[scale=0.7]{fig_RF_A_gjo_14.eps}\label{RFgjoA}}\hfill 
  \subfloat[Upper Earnings Limit]{\includegraphics[scale=0.7]{fig_RF_A_ulo_16.eps}\label{RFuloA}}\\
  \begin{footnotesize}
	\caption{Height's Political Consequences: Policy Preferences}
	\label{fig:RFpolicyprefsA}
  \end{footnotesize}
	\begin{scriptsize}	
Note: Running line smooths of \subref{RFpeoA} \defpeo; \subref{RFpsoA} \defpso; \subref{RFgjoA} \defgjo; and \subref{RFuloA} \defulo \ on height, adjusted for age and gender.  Each dependent variable indicates strength of support, ranging from -2 (strongly disagree) to 2 (strongly agree).  The X's mark the 10th and 90th percentile of the height distribution.  95 percent pointwise bootstrapped confidence intervals displayed.   
\end{scriptsize}
\end{centering}
\end{figure}

\begin{sidewaystable}[htbp]
\begin{footnotesize}
\begin{center}
%\input{Policies_turnout_summary_RF.tex}
\input{finaltable2_RF.tex}
\caption{Height and Policy Preferences}
\label{tab:RF_policies}
\end{center}
Note:  Direct relationship between height and political preferences.  Dependent variables are (1) \defpeo; (2) \defpso; (3) \defgjo; (4) \defulo; and (5) \defconvote.  Each dependent variable indicates strength of support, ranging from -2 (strongly disagree) to 2 (strongly agree).  \tablespecs
\end{footnotesize}
\end{sidewaystable}


\begin{figure}[htbp]
\begin{footnotesize}
\begin{center}
\includegraphics[scale=0.7]{fig_RF_A_convote_16.eps}
\caption{Taller People Vote for Conservatives}
\label{fig:RF_A_convote_16}
\end{center}
Note: Running line smooth of \defconvote on height, adjusted for age and gender.  The X's mark the 10th and 90th percentile of the height distribution.  95 percent pointwise bootstrapped confidence intervals displayed.   
\end{footnotesize}
\end{figure}





\begin{table}[htbp]
\begin{footnotesize}
\begin{center}
%\input{Table4_Y.tex}
\input{finaltable3_Y}
\caption{Child Height and Parents' Characteristics}
\label{tab:youth}
\end{center}
Note: Least squares regression; dependent variable is height (in inches) for youths aged 11 to 17.  Each row represents a separate regression.  All specifications include age, sex, race, religion and region controls.  Full models reported in Appendix.  
\end{footnotesize}
\end{table}


\begin{figure}[htbp]
	\begin{centering}	
 \subfloat[Whole Sample]{\includegraphics[scale=0.5]{RF_whole2.eps}\label{overtimeRF}}\hfill
 \subfloat[Men vs Women]{\includegraphics[scale=0.5]{RF_MF4.eps}\label{overtimeRF_MF}}\hfill
  \begin{footnotesize}
	\caption{Height and Conservative Support Over Time}
	\label{fig:overtime}
  \end{footnotesize}
	\begin{scriptsize}	
Note: Point estimates and 95\% confidence intervals are produced in separate, wave-specific regressions, using the specification corresponding to column 2 of Table \ref{tab:mainresult}.  Panel \subref{overtimeRF} reports the direct effect of height on Conservative support; \subref{overtimeRF_MF} reports these same models for men and women separately.   
\end{scriptsize}
\end{centering}
\end{figure}


\begin{figure}[htbp]
\begin{footnotesize}
\begin{center}
\includegraphics[scale=0.7]{fig_IV1stAcvote16.eps}
\caption{Income and Height}
\label{fig:IV1st}
\end{center}
Note: Running line smooth of \defincome on height, adjusted for age and gender.  The X's mark the 10th and 90th percentiles of the height distribution.  95 percent pointwise bootstrapped confidence intervals displayed.   
\end{footnotesize}
\end{figure}


\begin{table}[htbp]
\begin{footnotesize}
\begin{center}
\input{finaltable4_IV1.tex}
\caption{Instrumental Variables First Stage}
\label{tab:firststage_summary}
\end{center}
Note: Dependent variable is \defincome.  First stage of 2SLS regression corresponding to Table \ref{tab:mainresult}.  \tablespecs  
\end{footnotesize}
\end{table}


\begin{figure}[htbp]
	\begin{centering}	
	\subfloat[Whole Sample]{\includegraphics[scale=0.5]{IV1st_whole2.eps}\label{overtimeIV1_W}}\hfill
  \subfloat[Men vs Women]{\includegraphics[scale=0.5]{IV1st_MF4.eps}\label{overtimeIV1_MF}}\hfill 
  \begin{footnotesize}
	\caption{Instrumental Variables First Stage: Over Time Results}
	\label{fig:overtimeIV1}
  \end{footnotesize}
	\begin{scriptsize}	
Note: Point estimates of the effect of height on income are produced in separate, wave-specific regressions, using the specification corresponding to columns (2), (4), and (6) of Table \ref{tab:firststage_summary}.   
\end{scriptsize}
\end{centering}
\end{figure}



\begin{figure}[htbp]
\begin{footnotesize}
\begin{center}
\includegraphics[scale=0.7]{fig_IV2ndnoCI_A_cvote16.eps}
\caption{Income and Support for Conservatives}
\label{fig:IVcvote16}
\end{center}
Note: Running line smooths of \defcvote on income and income projected on height, adjusted for age and gender.  The X's mark the 10th and 90th percentile of the income and predicted income distributions.
\end{footnotesize}
\end{figure}


\begin{sidewaystable}
\begin{scriptsize}
\begin{center}
\input{finaltable5_IV2.tex}
\caption{Support for Conservatives: Second Stage IV }
\label{tab:ivresult}
\end{center}
Note:  Dependent variable is \defcvote.  The first row reports coefficients on income from second stage of 2SLS regressions; the second row reports coefficients on income from OLS regressions.  \tablespecs  
\end{scriptsize}
\end{sidewaystable}

\begin{sidewaystable}
\begin{scriptsize}
\begin{center}
\input{finaltable5_OLS.tex}
\caption{Support for Conservatives: Second Stage IV and OLS}
\label{tab:olsresult}
\end{center}
Note:  Dependent variable is \defcvote.  The first row reports coefficients on income from second stage of 2SLS regressions; the second row reports coefficients on income from OLS regressions.  \tablespecs  
\end{scriptsize}
\end{sidewaystable}


\begin{sidewaystable}[htbp]
\begin{footnotesize}
\begin{center}
\input{finaltable2_IV2.tex}
\caption{Policy Preferences and Voting Conservative in 2005 General Election}
\label{tab:IV_policies}
\end{center}
Note:  Dependent variables are (1) \defpeo; (2) \defpso; (3) \defgjo; (4) \defulo; and (5) \defconvote.  Each dependent variable indicates strength of support, ranging from -2 (strongly disagree) to 2 (strongly agree).  The first row reports the second stage of 2SLS, the second row reports results from OLS regressions. \tablespecs
\end{footnotesize}
\end{sidewaystable}


\begin{figure}[htbp]
	\begin{centering}	
 \subfloat[OLS and IV 2nd Stage]{\includegraphics[scale=0.5]{OLSIV2nd_whole2.eps}\label{overtimeOLSIV2}}\hfill
  \subfloat[Men vs Women IV]{\includegraphics[scale=0.5]{OLSIV2nd_MF4.eps}\label{overtimeMFb}}\hfill 
  \begin{footnotesize}
	\caption{Over Time Results}
	\label{fig:overtimeIV}
  \end{footnotesize}
	\begin{scriptsize}	
Note: Point estimates and 95\% confidence intervals are produced in separate, wave-specific regressions, using the specification corresponding to column 2 of Table \ref{tab:mainresult}.  Panel \subref{overtimeOLSIV2} and \subref{overtimeMFb}: Effect of a standard deviation increase in income (by year; by year and sex) on Conservative support.   
\end{scriptsize}
\end{centering}
\end{figure}



\begin{table}[htbp]
\begin{footnotesize}
\begin{center}
\input{xtregwincome.tex}
\caption{Fixed Effects: OLS}
\label{tab:panel_results}
\end{center}
Note:  Linear probability model with individual fixed effects and year dummies; dependent variable is \defcvote.  Full models reported in appendix.  Heteroskedasticity-robust standard errors, clustered by individual. Statistical significance: $^{*}$10\% ; $^{**}$5\% ; $^{***}$1\%  
\end{footnotesize}
\end{table}


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